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Evaluation of Displacive Models for Bainite Transformation Kinetics in Steels

机译:钢中贝氏体转变动力学位移模型的评价

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Several kinetic models for bainite transformation have been widely applied in industry and research. The majority of these models, that do not consider the effect of cementite precipitation during bainite transformation, were validated in high silicon bainitic steels in order to avoid the interference of cementite precipitation during bainite formation. In this work, displacive models for bainite transformation have been validated in bainitic steels with different silicon content with the aim of evaluating their applicability on steels where cementite precipitation may play an important role on bainite formation. It has been found that these models fail in the calculus of the maximum volume fraction of bainite of lean silicon steels, but lead to a reasonable accuracy in high silicon steels. This is not surprising since cementite formation reduces the carbon content in the residual austenite, stimulating the formation of a further quantity of ferrite. Likewise, an imprecise estimation of the nucleation rate of bainite must be the reason for the poor correlation in the predictions of the bainite transformation kinetics in high silicon steels. This entails a better treatment of autocatalytic nucleation, still unresolved issue in the bainite transformation kinetics theory,
机译:贝氏体转变的几种动力学模型已在工业和研究中得到广泛应用。为了避免在贝氏体形成过程中渗碳体沉淀的干扰,这些模型中的大多数模型都没有考虑贝氏体转变过程中渗碳体沉淀的影响,并在高硅贝氏体钢中进行了验证。在这项工作中,已经验证了硅含量不同的贝氏体钢中贝氏体转变的位移模型,以评估其在渗碳体沉淀可能对贝氏体形成起重要作用的钢上的适用性。已经发现,这些模型在对贫硅钢的贝氏体最大体积分数的计算中失败了,但是在高硅钢中导致了合理的精度。这并不奇怪,因为渗碳体的形成降低了残余奥氏体中的碳含量,从而刺激了更多数量的铁素体的形成。同样,贝氏体成核速率的不精确估计必须是高硅钢中贝氏体转变动力学预测中相关性差的原因。这需要对自催化成核进行更好的处理,这在贝氏体转变动力学理论中仍未解决,

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